Evidence mapPaperPMID 41930326Full record

ReviewMedComm2026

The Homeobox Genes: Classification, Regulation, Biological Functions, and Diseases.

Maedeh Dadzadi, Shahin Ramazi, Mona Darvazi, Sepideh Yoosefi, Melika Abbasi, Shirin Farsad

Abstract readReview
In one paragraph

Review in MedComm, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Maedeh DadzadiDepartment of Biotechnology Faculty of Advanced Science and Technology Tehran Medical Sciences Islamic Azad University Tehran Iran.ORCID https://orcid.org/0009-0005-0453-5752
Shahin RamaziDepartment of Biophysics Faculty of Biological Sciences Tarbiat Modares University Tehran Iran.
Mona DarvaziDepartment of Biophysics Faculty of Biological Sciences Tarbiat Modares University Tehran Iran.
Sepideh YoosefiDepartment of Drug and Food Control Faculty of Pharmacy Tehran University of Medical Sciences Tehran Iran.
Melika AbbasiDepartment of Biotechnology Medical Islamic Azad University of Tehran Tehran Iran.
Shirin FarsadDepartment of Microbiology Faculty of Basic Science Qom Branch Islamic Azad University Qom Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Homeobox genes constitute a large family of transcription factors that act as master regulators involved in multiple fundamental processes such as development and cell differentiation. Consequently, these transcription factors perform diverse functions throughout human life. However, dysregulation of homeobox gene expression, through pathogenic variants or epigenetic alterations, has been increasingly associated with a wide range of human disorders. In particular, correlations between homeobox genes and various types of cancer have been documented in hundreds of studies. This review provides an integrative overview of homeobox gene biology, summarizing their classification as well as their physiological and pathological roles across noncancerous and cancerous diseases. Particular attention is given to how dysregulation of gene expression contributes to various noncancerous diseases (e.g., congenital, metabolic, and neurodegenerative disorders) and to malignancies, especially the five highest incidence of cancers, with a detailed focus on lung cancer, where epigenetic mechanisms play a central role in tumor progression.

Indexed as

cancerepigeneticshomeobox geneslung cancernoncancerous diseasespathological variants

Identifiers

PMID41930326
PMCPMC13042979

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.